标题: | Application of fuzzy sets theory in process data filtering |
作者: | Chiang, HH Wu, SJ Lee, TT 电控工程研究所 Institute of Electrical and Control Engineering |
关键字: | fuzzy sets theory;filtering;Kalman filter;Takagi-Sugeno (T-S) fuzzy model |
公开日期: | 2003 |
摘要: | introduced and applied to the problems of signal restoration. A fuzzy approach for system identification and state estimation is developed. The estimated values obtained from the fuzzy model are in the form of fuzzy numbers which present the possibility of the system structure. Both L-R and symmetric triangular type membership functions are employed to derive the fuzzy-data based estimator (FBE). Illustrative examples with white and color noise are provided to demonstrate the applicability and effectiveness of the developed FBE. Comparisons between the FBE and various modified Kalman filter are also included. |
URI: | http://hdl.handle.net/11536/18634 |
ISBN: | 0-7803-7810-5 |
期刊: | PROCEEDINGS OF THE 12TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1 AND 2 |
起始页: | 325 |
结束页: | 330 |
显示于类别: | Conferences Paper |